2015
DOI: 10.1007/s12205-015-1265-4
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Comparison of SWAT streamflow and water quality in an agricultural watershed using KOMPSAT-2 and Landsat land use information

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Cited by 2 publications
(7 citation statements)
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“…Working on basins like Omerli Basin, which are highly affected by urbanization, requires more data, further analysis, application of infrastructure models, and other tools to aid decision makers, to address water potential studies properly, and to better understand the complex interactions between catchment and in-stream processes in urban systems as stated by Welty et al (2007) andO'Driscoll et al (2010). and Ahn et al (2016) investigated the effects of using different LULC datasets on hydrological modeling; however, these studies were restricted to limited comparison of LULC datasets for the same period. Branger et al (2013) also successfully evaluated the influence of land-use data on the water balance components of semi-urban basin.…”
Section: Figmentioning
confidence: 99%
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“…Working on basins like Omerli Basin, which are highly affected by urbanization, requires more data, further analysis, application of infrastructure models, and other tools to aid decision makers, to address water potential studies properly, and to better understand the complex interactions between catchment and in-stream processes in urban systems as stated by Welty et al (2007) andO'Driscoll et al (2010). and Ahn et al (2016) investigated the effects of using different LULC datasets on hydrological modeling; however, these studies were restricted to limited comparison of LULC datasets for the same period. Branger et al (2013) also successfully evaluated the influence of land-use data on the water balance components of semi-urban basin.…”
Section: Figmentioning
confidence: 99%
“…Branger et al (2013) also successfully evaluated the influence of land-use data on the water balance components of semi-urban basin. Both Sadek et al (2014) and Ahn et al (2016) studied impact of LULC datasets on river flows at basin level. On the contrary, model outputs of this study evaluated different land-uses at sub-basin level, and also considered model parameterization uncertainty using SUFI-2 algorithm.…”
Section: Figmentioning
confidence: 99%
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“…[ [147][148][149][150]176] South Korea Gyeongan (262.3) [147] ; Nakdong (NA c ) [148] ; Bocheung (70.2) [149] ; Haean (62.7) [150] ; Yeongsan (724) [176] Rice covers 7.3% [147] , 15.48% [148] , 15.6% [149] , 13.6% [150] and 24% [176] of the land area; accounted for rice paddy soils [150] ; BMPs simulated for paddies [176] . [151] South Korea Gapcheon subbasin (597) Report rice production areas for six different years between 1975 and 2000.…”
Section: Typical Swat Rice Applications Reported In the Literaturementioning
confidence: 99%